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Thank your for the good work!
I use the docker file to train "CondInst_MS_R_50_1x" and change the wight from "detectron2://ImageNetPretrained/MSRA/R-50.pkl" to local R-50.pkl(downloaded from ht…
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If you do not know the root cause of the problem, please post according to this template:
## Instructions To Reproduce the Issue:
Hello, I'm running the CondInst model which is based on detectron2…
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Hi, I've found that in your code you calculated the loss among all instances, not only the positive ones, which you have described in paper. Can you explain it or show me where I can find the related …
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From the paper it shows CondInst using FCOS output directly feed into mask head generate mask. While looking into the code, it still using proposals (which compute every coodinates of boxes) then feed…
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These instance segmentation also based on fcos architecture.
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Hi:
I follow the instructor to train CondInst with MS_R_50_1x. But the performance of it is not good. Just as the following picture.
Why? And should I adjust the code or some paramaters? Thanks a lo…
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Since CondInst is built on object detector FCOS, I am interested in the box AP of CondInst.
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Hi, Tanveer,
I have two questions.
1. When I evaluate or train the model. It has not use any reference information(e.g. mask or box). How does the model know what to segment for Semi-VOS.
http…
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您好，我跑的是 CondInst 模型
当我在测试的时候，我想看看后处理是怎样的，但我在 的forward() 方法中写入的代码 例如 exit() 并没有执行。我怀疑这是与detectron2的注册机制有关，我想调试这部分代码，请问我该怎么做呢？
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reference in condinst to onnx：
proposals, proposal_losses = self.proposal_generator(images, features, gt_instances, self.controller)
#return proposals
mask_feats, sem_losse…